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Deep learning for action recognition in augmented reality assistance systems

Matthias Schröder, Helge Ritter
2017 ACM SIGGRAPH 2017 Posters on - SIGGRAPH '17  
User actions are captured by an RGBD sensor and recognized using convolutional neural networks (CNNs) and Bayesian inference.  ...  CCS CONCEPTS •Computing methodologies → Activity recognition and understanding; •Human-centered computing → Human computer interaction (HCI); Mixed / augmented reality;  ...  augmented reality (AR) applications.  ... 
doi:10.1145/3102163.3102191 dblp:conf/siggraph/SchroderR17 fatcat:kouve3wtdjc3dgkvpx62ukneqi

3D interactive augmented reality-enhanced digital learning systems for mobile devices

Kai-Ten Feng, Po-Hsuan Tseng, Pei-Shuan Chiu, Jia-Lin Yang, Chun-Jie Chiu, Margaret Dolinsky, Ian E. McDowall
2013 The Engineering Reality of Virtual Reality 2013  
The proposed IARL systems consist of two major components, including the markerless pattern recognition (MPR) for 3-D models and velocity-based object tracking (VOT) algorithms.  ...  Augmented reality is to impose virtual information, e.g., videos and images, onto a live-view digital display.  ...  Tracking object using background subtraction 6, 7 can identify the position of moving object, but steady background is required for subtraction which might not be suitable for moving object.  ... 
doi:10.1117/12.2003505 fatcat:33hhytmusne4dm6uyjszl3znhe

Front Matter: Volume 10649

Mohammad S. Alam
2018 Pattern Recognition and Tracking XXIX  
-33] 10649 0T Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks [10649-34] 10649 0U Augmented reality data generation  ...  Contents NEURAL NETWORK BASED DETECTION AND TRACKING 0B Wildland fires detection and segmentation using deep learning 10649 0C ASIFT based recognition of fixed shape moving objects and tracking via  ... 
doi:10.1117/12.2501434 fatcat:2jnwikkt7vbclmct2q6gzo5t7u

Augmented Reality Dynamic Image Recognition Technology Based on Deep Learning Algorithm

Qiuyun Cheng, Sen Zhang, Shukui Bo, Dengxi Chen, Haijun Zhang
2020 IEEE Access  
The convolutional neural network uses the last layer of features and uses the softmax recognizer for recognition.  ...  Augmented reality is a research hotspot developed on the basis of virtual reality.  ...  There are four main sensor-based tracking technologies commonly used in augmented reality systems: magnetic field tracking technology, optical tracking technology, acoustic tracking technology, and inertial  ... 
doi:10.1109/access.2020.3012130 fatcat:7gjrtszcbbhgvf2zt34cwzcvum

Augmented reality using artificial neural networks –a review

Sreekumar Narayanan, Srinath Doss
2019 International Journal of Engineering & Technology  
The present paper reviews the areas where Augmented Reality (AR) has been used in Artificial Neural Networks (ANN) (Artificial Neural Networks).  ...  There is an incredible potential in fields such as construction, art, architecture, repair and manufacturing with mediated reality and well-organized visualization through AR.  ...  Augmented reality system (ARS) Caudel and Mizell in 1992 were the ones who first utilized the term 'augmented reality' to draw reference to a see-through, heads-up display in combination with sensing for  ... 
doi:10.14419/ijet.v8i4.29981 fatcat:rsy4yk7wkvbkjdd5dm7qhnsruq

Character index

2011 2011 IEEE International Conference on Multimedia and Expo  
doi:10.1109/icme.2011.6011827 fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu

Table of Contents

2020 IEEE transactions on multimedia  
Yin, and K.-M. Lam 970 Virtual and Augmented Reality Flexibly Connectable Light Field System For Free View Exploration . . . . . . . . . . . . . . . H. Jung, H.-J. Lee, and C. E.  ...  Ji 1084 Sentiment Recognition for Short Annotated GIFs Using Visual-Textual Fusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tmm.2020.2980723 fatcat:6u6zz25ltvhmheqdoixyu2utwu

The visual active memory perspective on integrated recognition systems

C. Bauckhage, S. Wachsmuth, M. Hanheide, S. Wrede, G. Sagerer, G. Heidemann, H. Ritter
2008 Image and Vision Computing  
Recognition and learning take place in the stress field of objects, actions, activities, scene context, and user interaction.  ...  Object recognition is the ability of a system to relate visual stimuli to its knowledge of the world.  ...  It allows for top-down as well as for bottom-up control and, as described in [33] , a Bayesian network based representation of contextual knowledge can guide object recognition and scene understanding  ... 
doi:10.1016/j.imavis.2005.08.008 fatcat:mulj56mkmbeihn66i2uvltiz3e

Natural interaction in intelligent spaces: Designing for architecture and entertainment

Flavia Sparacino
2008 Multimedia tools and applications  
Thanks to wireless sensing techniques it is possible to endow a space with perceptual intelligence, and make it aware of how people use it, move in it, or react to it.  ...  This paper describes the guiding principles and modeling approaches that, according to the author, enable a robust modeling of user input and communication strategies for digital content presentation in  ...  The visitor tracking data is used to learn the parameters of the Bayesian network.  ... 
doi:10.1007/s11042-007-0193-9 fatcat:k5yszxwx3fdwbjr5uy3zrnwnzy

Natural Interaction in Intelligent Spaces: Designing for Architecture and Entertainment [chapter]

Flavia Sparacino
2009 Handbook of Multimedia for Digital Entertainment and Arts  
Thanks to wireless sensing techniques it is possible to endow a space with perceptual intelligence, and make it aware of how people use it, move in it, or react to it.  ...  This paper describes the guiding principles and modeling approaches that, according to the author, enable a robust modeling of user input and communication strategies for digital content presentation in  ...  The visitor tracking data is used to learn the parameters of the Bayesian network.  ... 
doi:10.1007/978-0-387-89024-1_32 fatcat:xau6vzf4ynenbmwqzhgpzym5uq

Deep gesture interaction for augmented anatomy learning

Ahmad Karambakhsh, Aouaidjia Kamel, Bin Sheng, Ping Li, Po Yang, David Dagan Feng
2018 International Journal of Information Management  
track, and this is where we need to combine the augmented reality and neural networks.  ...  We also demonstrate the great potential of augmented reality and neural networks to be employed for medical and educational usage.  ... 
doi:10.1016/j.ijinfomgt.2018.03.004 fatcat:dxheeyglara4fef367vt4kkwly

Adaptive Application Configuration and Distribution in Mobile Cloudlet Middleware [chapter]

Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt
2013 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
We present a prototype implementation of the middleware platform, and show the effectiveness of our adaptation strategy using an augmented reality use case.  ...  Therefore, the concept of cloudlets was introduced, where nearby infrastructure is used by the mobile user for code offloading.  ...  Experimental results AR use case As a use case, we present an augmented reality application featuring markerless tracking as described by Klein et al. [9] , combined with an object recognition algorithm  ... 
doi:10.1007/978-3-642-36660-4_13 fatcat:ei3j5u55jfdhpkvlbedspux7xe

Editorial: recent research in medical technology based on multimedia and pattern recognition

Zhihan Lv, Jim Jingyan Wang, Tengfei Yin
2017 Neurocomputing  
Many of these applications require the multimedia and pattern recognition paradigm using medical sensors.  ...  The intelligence functions of multimedia and pattern recognition technologies can be applied to Smart Hospital, Smart Clinic, Smart Medical Application for Individual.  ...  Zhihan Lv is an engineer and researcher of virtual/augmented reality and multimedia major in mathematics and computer science, having plenty of work experience on virtual reality and augmented reality  ... 
doi:10.1016/j.neucom.2016.08.097 fatcat:7ggq7kjnabaphhxsgyw37manc4

On Virtual Characters that Can See

Eugene Borovikov, Sergey Yershov
2016 Procedia Computer Science  
Such a VC can be equipped with algorithms to localize humans, recognize and communicate with them.  ...  This CA needs to be fairly seamless, reliable and adaptive. Here we explore a vision-based human-centric approach to the VC design.  ...  At the same time, in some of the augmented reality (AR) scenarios, virtual objects and characters can be inserted into the real-world video streams and allowed to interact with some real objects in real  ... 
doi:10.1016/j.procs.2016.07.475 fatcat:p2za43jnujd2rfnufezcbpijmq

Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction [article]

Long Chen, Wen Tang, Nigel John, Tao Ruan Wan, Jian Jun Zhang
2018 arXiv   pre-print
We demonstrate our approach with a material-aware prototype system for generating context-aware physical interactions between the real and the virtual objects.  ...  Our key insight is to build semantic understanding in MR that not only can greatly enhance user experience through object-specific behaviours, but also pave the way for solving complex interaction design  ...  Bayesian Fusion for 3D Semantic Label Fusion The trained neural network for material recognition only infers object material properties in the 2D space.  ... 
arXiv:1803.05541v1 fatcat:p6rf7crsprhtdmoslnecyeyp64
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